An Environment for Automatic Speech Signal Labeling

M. Sigmund (Germany) and P. Matejka (Czech Republic)

Keywords

signal processing, automatic labeling, speech recognition.

Abstract

In this paper, we present a new software environment for
automatic labeling of spoken language. The labeling
algorithm is based on the comparison of a set of speech
parameters obtained either by the direct or by the
cumulative method in the stable portion of each phoneme
in the utterance. Finally, the utterance is automatically
segmented into phonemes. The label segmentation is
supported by visual and audible feedback allowing an
optimal adjustment of processing parameters and
comparative evaluation of results. Testing the program on
Czech speech signal, the best total segment detection rate
of 90 % was achieved. The developed program can be
used both as an illustrative approach for teaching speech
processing and a powerful tool for parameter setting in
real-world applications using signal processors.